Commit Offshore

Key Responsibilities

• Serve as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and deployment changes.
• Manage, maintain, and support MongoDB databases across Atlas and on-premise environments.
• Administer and support SQL Server and PostgreSQL databases in both on-premise and AWS environments.
• Continuously monitor database health, performance, and availability.
• Collaborate with software engineers to optimize SQL queries and improve database schema design.
• Ensure high availability (HA) and implement robust disaster recovery (DR) strategies to minimize downtime.
• Contribute to long-term database architecture planning and scalability initiatives.
• Execute database changes, apply patches, and manage version upgrades.
• Support the design and maintenance of data extraction pipelines from MongoDB and SQL Server.

• Participate in an on-call rotation to support production systems as needed.

  
  Requirements

• 2 years of experience with Team Management
• 4+ years of experience working with data platforms, including at least 2 years in a DBA role supporting MongoDB and relational databases (infrastructure and application support).
• Hands-on experience in data engineering (Airflow preferred).
• Minimum 1 year of hands-on experience with AWS.
• Advanced T-SQL development and performance tuning skills.
• Experience with Git and modern version control workflows.
• Strong knowledge of backup, recovery, security, and data integrity best practices.
• Excellent analytical and problem-solving skills, with strong algorithmic thinking.
• Ability to thrive in a fast-paced environment and manage multiple priorities.

• Fluent English (written and spoken).

   

  Nice to Have

• Experience with dbatools, Redgate SQL Toolbelt, and Coralogix.
• Familiarity with CI/CD pipelines and database change management tools such as Liquibase.

We’re hiring an AI Agent Architect to design and build production-grade autonomous AI agents powered by LLMs. This role is for someone who has already shipped agentic systems, can architect multi-step reasoning pipelines, and knows how to make RAG reliable through evaluation, while optimizing cost at scale and addressing real-world failure modes.

What you’ll be responsible for

• Building and operating autonomous AI agents in production
• Designing multi-step reasoning pipelines (planning, tool-use, orchestration)
• Implementing RAG systems end-to-end and setting up evaluation to measure and improve quality
• Driving LLM cost optimization at scale (model selection, routing, caching/batching strategies, usage controls)
• Identifying and mitigating failure modes in AI systems (hallucinations, retrieval issues, tool errors, cascading failures)
• Designing multi-agent coordination patterns (specialized agents, handoffs, routing, communication protocols)
• Delivering these systems as cloud-native services (scalable, observable, resilient)Requirements (must-have)
• Proven experience building autonomous AI agents that run in production
• Experience designing multi-step reasoning and orchestration pipelines
• Hands-on implementation of RAG + evaluation (testing, metrics, and iterative improvement)
• Experience optimizing LLM costs at scale
• Strong understanding of AI system failure modes and practical mitigation approaches
• Experience with multi-agent coordination
• Experience building cloud-native systems (reliability, monitoring, scalable deployment)

Responsibilities:

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• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research
• Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 4+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment
• Fluency in Ukrainian and English

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

We’re looking for a QA Manual & Automation Engineer to ensure the quality, correctness, and reliability of our LLM-based conversational product—from UI flows and data connectors to reasoning and response validation. You’ll design test strategies that catch regressions in conversation behavior, verify data-grounded answers against datasets, and build automation to scale coverage.

This role blends manual QA, automation engineering, and AI conversational validation.

Responsibilities

• Own end-to-end QA for an LLM-driven conversational system: functional, regression, and exploratory testing.
• Build and maintain automated test suites in Python, with a strong focus on Playwright for UI and workflow automation.
• Design and execute AI conversational tests:
  • Create structured test prompts and multi-turn scenarios
  • Run queries over datasets and validate correctness of responses against expected ground truth
  • Detect and document hallucinations, inconsistencies, and reasoning failures
• Develop test scenarios to validate data correctness and reasoning validity, including edge cases and adversarial prompts (within product scope).
• Write and validate SQL queries to confirm the correctness of underlying data and outputs.
• Validate integrations and storage across MongoDB, MySQL, and SQLite.
• Define and improve QA processes: test plans, defect triage, release sign-off criteria, and reporting dashboards.

• Collaborate closely with Product, Engineering, and ML teams to improve testability, reliability, and release confidence.

   

Requirements (Must-have)

• Strong Python programming skills for test automation and tooling.
• Hands-on experience with Playwright for automated testing.
• Experience testing AI conversational systems, including:
  • Designing prompt suites over datasets
  • Verifying correctness/consistency of responses
  • Validating multi-turn behavior and context retention
• Strong manual QA ability for LLM-based conversational flows (UX + functional correctness).
• Ability to write and validate SQL queries for verification and debugging.
• Experience with databases: MongoDB, MySQL, SQLite.

• Strong test scenario design skills, especially for data correctness and reasoning validation.

   

Nice-to-have

• Experience with Elasticsearch (queries, relevance checks, troubleshooting).
• Familiarity with Cursor or similar AI coding assistants to speed up test development and debugging.

Company is looking for a Senior Backend Engineer to help build the infrastructure that secures the world’s software supply chains. You’ll work closely with top-tier engineers to design and ship high-performance, secure systems at scale.

This role is a great fit for someone who thrives in fast-moving environments, enjoys solving deep technical challenges, and wants their work to have real impact.

    Responsibilities

• Design, build, and maintain scalable backend services and APIs
• Develop reliable, secure, and high-performance systems in a production environment
• Work with SQL and NoSQL databases to support application needs and performance goals
• Collaborate with engineers to design and improve microservices - based architecture
• Contribute to clean, maintainable codebases and strong engineering standards

• Troubleshoot and resolve complex issues across services and infrastructure

   

  Requirements

• Bachelor’s degree in Computer Science or a related field
• 5+ years of backend development experience building scalable applications
• Strong proficiency in Node.js
• Solid experience with SQL and NoSQL databases
• Familiarity with cloud services and microservices architecture
• Excellent problem-solving skills and a commitment to clean, maintainable code

Company is looking for a Senior Backend Engineer. As a Senior Software Engineer you will take a significant part in the development of company’s core payments platform. Company's payments platform provides secure and efficient payment processing by optimizing payment routing flows, ensuring transaction security, and managing refunds. You will work with diverse payment gateways to enable a wide range of alternative payment methods, build expertise with various digital wallets, credit options, and region-specific payment solutions, while also implementing fraud detection capabilities, manage the full lifecycle of chargebacks, and take part in building company's data lake for analytics and operations. If you are passionate about technology and software development, with end-to-end experience developing in a fast-growing startup environment, we want to meet you!

Responsibilities 
• Building our high scale cloud-based payments platform in Node.js • Have end to end ownership: Design, build, ship, measure and maintain low latency, high availability and high performance services. 
• Bring your unique experience - we are open to new ideas and expect you to bring our team and platform to a new level 
• Optimize resource usage (database, infrastructure, integrations) 
• Mentor and guide software engineers and help build a professional and effective team. 

Requirements: 
• At least 5 years of proven experience in developing end-to-end web applications (experience in Fintech companies - advantage) 

• Proficiency with cloud-based environments (AWS - preferred) 

• Proficiency with Node.js / Python / Java

• Experience with Docker 

• Experience with NoSQL solutions (MongoDB, Redis - advantage) 

• Experience with Microservices 

• Excellent problem-solving and troubleshooting skills 

• Knowledge of software development lifecycle 

• Strong communication and collaboration abilities 

• Self-motivated with a startup mindset and ability to work independently

Commit Offshore is an integral part of COMMIT, the largest IT powerhouse based in Israel and the US, delivering cutting-edge development projects efficiently since 2005. Starting with a simple mission to provide top-tier IT professionals, we have evolved into a leading provider of IT staff augmentation and outstaffing services with 900+ employees.

In this role, you will be responsible for sourcing, attracting, and hiring top tech talent across different domains and levels of complexity.
 

As we continue to expand our international presence, we are looking for a Technical Recruiter to join our dynamic team and help us attract top-tier technical talent.
 

About the Role

In this role, you will be responsible for sourcing, attracting, and hiring top tech talent across different domains and levels of complexity.
 

Key Responsibilities

• Manage end-to-end recruitment for a variety of technical positions, including Software Engineers, DevOps, Cloud Architects, Data Engineers, QA, and more.
• Source high-quality candidates through multiple channels (LinkedIn Recruiter, job boards, referrals, networking, etc.).
• Assess candidates’ technical and cultural fit, collaborating with hiring managers to ensure alignment with client needs.
• Work with an international talent pool across different time zones and regions (Europe, North America, LATAM, Asia etc.).
• Build and maintain a strong talent pipeline for ongoing and future hiring needs.
• Ensure a great candidate experience throughout the recruitment process.
• Track and manage candidate data within the Applicant Tracking System (ATS).
• Stay up to date with tech industry trends, hiring best practices, and outstaffing recruitment models.
   

Requirements

• 2-4 years of experience as a Technical Recruiter in an international outstaffing or IT services company.
• Strong experience recruiting for various tech positions at different seniority levels.
• Familiarity with cloud, DevOps, AI/ML, and software engineering roles is a plus.
• Knowledge of global recruitment trends and experience sourcing talent from multiple regions.
• Proficiency in using ATS platforms and LinkedIn Recruiter.
• Excellent communication and negotiation skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple requisitions.
   

Nice to Have

• Experience hiring for niche or high-demand tech roles.
• Understanding of outstaffing models and international labor laws.
• Familiarity with technical assessment tools and processes.

What you’ll do

• Build and ship features for a cutting-edge platform that impacts millions of travelers every day.
• Own frontend user stories end-to-end, from design to production, maintaining high code quality and performance.
• Contribute to the architecture of the world’s first marketplace platform for the travel industry.
• Collaborate closely with product, design, and backend teams in a fast-paced environment.

What you’ll bring

• 5+ years of experience with modern frontend frameworks (React, Vue, or Angular).
• 3+ years experience with React.js and Node.js/Python
• Strong proficiency in ES6+ and CSS preprocessors (SASS/SCSS/LESS).
• A track record of building customer-facing products with excellent UX and usability.
• Ownership mindset, eagerness to learn, and strong interpersonal skills.

Bonus points

• Experience with React Native and iOS/Android development.
• Backend exposure (Node/Java/PHP/Perl).
• Familiarity with TypeScript and Jenkins.
• Comfort with UI/UX tools (Sketch, Photoshop, GIMP, etc.).

As a Technical Artist, you will be part of the full creative pipeline. Your job is to build both new and support existing features within our games. You will be working and collaborating with the Development, Art and Animation departments, and be a full participant in the product lifecycle and pipeline. You'll be building both UI and Gameplay features in Unity with specific technical requirements from all departments related to the features lifecycle. You’ll be in charge of creating the skeleton infrastructure that leads to the features support in both Development and Animation and also in charge of implementing the final design and visual aspect of the feature.



1. Unity (strong): build/maintain UI + gameplay features, implement the final visuals, and set up the supporting “skeleton” infrastructure that connects Dev + Animation needs. 

2. Photoshop (advanced): heavy day-to-day use for production art implementation.

3. Art & Animation pipelines: solid understanding of workflows (how assets move from art/animation into the game). 

4. Programming mindset: comfortable working with technical logic/infrastructure and collaborating on technical solutions (not necessarily a pure engineer, but must “speak code”). 

5. Optimization for mobile/game size: proven ability to reduce memory/size (e.g., 9-slicing, efficient UI/art setup).

6. 3D tools: Blender preferred (or Maya). 

7. Experience: 2+ years in the gaming industry.

We’re looking for a Senior DevOps Engineer to join our team

What you'll do:

• Build and improve Kubernetes and GitOps-based tooling so teams can deliver faster and with less risk.
• Design and maintain Infrastructure as Code (Terraform, Pulumi, or similar) for repeatable, reliable environments.
• Strengthen CI/CD practices and tooling to shorten feedback loops and reduce manual work.
• Improve monitoring and observability (Prometheus, Grafana, Loki, OpenTelemetry) so issues are found earlier and resolved faster.
• Partner across R&D and product to align on shared ownership, reliability, and operational standards.
• Mentor and support engineers so teams adopt best practices and get unblocked quickly.
• Protect production systems by improving health, stability, and incident readiness over time.

Why you'll love this role:

• Work on a DevOps-native product and platform where Kubernetes and GitOps aren’t “nice to have” — they’re core.
• Make visible, compounding impact by helping multiple teams ship and operate more effectively.
• Shape standards and direction for delivery, developer experience, and observability across the organization.
• Join a supportive, skilled team with room to learn, grow, and stay close to a fast-moving DevOps ecosystem.

Your background:

• 5+ years of experience with DevOps and cloud technologies.
• Deep expertise in Kubernetes and containerization.
• Strong knowledge of at least one major public cloud (AWS, GCP, or Azure) experience with more than one is a plus.
• Proficiency with Infrastructure as Code (Terraform, Pulumi, or similar).
• Strong familiarity with CI/CD practices and tooling.
• Experience with monitoring and observability stacks (Prometheus, Grafana, Loki, OpenTelemetry).
• Strong scripting and automation skills (Bash, Python).
• Excellent problem-solving and collaboration skills in distributed, cross-functional teams.

Nice to have:

• Experience with Crossplane and Argo projects (e.g., Argo CD, Argo Workflows).
• Knowledge of event-driven architectures (e.g., RabbitMQ).
• Familiarity with databases such as MongoDB or other NoSQL systems.
• Programming experience in Go or Node.js.

This is a hands-on engineering role in a fast-moving cybersecurity startup building an advanced AI SOC for cloud environments across AWS, Azure, and GCP. This is not a classic backend or full-stack web position. This role focuses on data engineering, automation, distributed systems.

What You’ll Do

- Design, develop, and maintain Python services that interact with cloud provider APIs and telemetry sources 

- Build scalable, event-driven processing pipelines 

- Develop serverless components and cloud-native integrations 

- Work with large volumes of cloud logs and security data 

- Optimize performance, reliability, and cost across distributed systems - Debug complex production issues in multi-cloud environments 

- Collaborate closely with research, DevOps, and product teams

Must-Have Requirements

- Minimum 4+ years of hands-on Python development experience 

- Proven experience developing production systems in a startup environment 

- Strong understanding of distributed systems and asynchronous processing 

- Experience building software that runs in production and handles real-world scale 

- High ownership mindset and ability to work independently Strong problem-solving skills

Strong Advantage

- Experience with AWS, Azure, or GCP 

- Experience working with cloud SDKs: AWS (boto3), Azure SDK, GCP SDK 

- Familiarity with cloud security, telemetry, or infrastructure APIs 

- Experience working with multi-cloud environments

About the Role

We’re looking for a Senior GCP DevOps Engineer (6+ years) with deep experience building and operating production-grade Kubernetes platforms on AWS.

You’ll lead the design, scaling, and reliability of cloud-native, Kubernetes-first infrastructure, working closely with engineering teams to enable secure, automated, and highly available deployments.

Key Responsibilities

• Kubernetes (EKS):
  • Design, build, and operate production-grade EKS clusters
  • Implement GitOps workflows with ArgoCD
  • Manage autoscaling and capacity using Karpenter
  • Own cluster upgrades, networking, security, and performance
• AWS Infrastructure:
  • Design and manage AWS environments using Terraform
  • Strong focus on EKS, IAM, VPC, ALB/NLB, ECR, and managed services
• Helm & Platform Engineering:
  • Create and maintain Helm charts for shared and application workloads
  • Build reusable Kubernetes platform components
• Containers:
  • Build, optimize, and secure Docker images
  • Enforce container security and best practices
• CI/CD:
  • Design and maintain pipelines using GitHub Actions (and Azure DevOps where needed)
  • Enable fast, safe Kubernetes deployments
• Observability:
  • Implement Prometheus, Grafana, and ELK for monitoring, logging, and alerting
  • Own SLOs, alerts, and operational visibility
• Reliability & Security:
  • Improve availability, scalability, and security across Kubernetes and AWS
  • Apply best practices for IAM, networking, and secrets management

Required Skills & Experience

• 6+ years as a DevOps / Cloud Engineer
• Strong Kubernetes expertise, especially EKS, Helm, ArgoCD, and Karpenter
• Deep GCP knowledge with hands-on production experience
• Advanced Terraform usage for infrastructure and EKS
• Strong CI/CD experience (GitHub Actions, Azure DevOps)
• Solid Docker and container security knowledge
• Strong troubleshooting and communication skills

Nice to Have

• Experience operating large-scale or high-availability Kubernetes clusters
• Knowledge of GCP cost optimization and cloud security best practices
• Experience with multi-account AWS and governance
• Other platforms: GCP, Azure, OpenShift

Role Overview

We are building a greenfield analytics platform supporting both batch and real-time data processing. We are looking for a Senior Data Engineer who can design, implement, and evolve scalable data systems in AWS.

This role combines hands-on development, architectural decision-making, and platform ownership.

Core Responsibilities

• Design and implement batch and streaming data pipelines using Apache Spark.
• Build and evolve a scalable AWS-based data lake architecture.
• Develop and maintain real-time data processing systems (event-driven pipelines).
• Own performance tuning and cost optimization of Spark workloads.
• Define best practices for data modeling, partitioning, and schema evolution.
• Implement monitoring, observability, and data quality controls.
• Contribute to infrastructure automation and CI/CD for data workflows.

• Participate in architectural decisions and mentor other engineers.

   

Required Qualifications

Experience

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark (including Structured Streaming).
• Experience building both batch and streaming pipelines in production environments.

• Proven experience designing AWS-based data lake architectures (S3, EMR, Glue, Athena).

   

Streaming & Event-Driven Systems

• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.

   

Data Architecture & Modeling

• Experience implementing lakehouse formats such as Delta Lake.

• Strong understanding of partitioning strategies and schema evolution.

   

Performance & Reliability

• Experience using SparkUI and AWS CloudWatch for profiling and optimization.
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).

• Proven track record of cost optimization in AWS environments.

   

DevOps & Platform Engineering

• Experience with Docker and CI/CD pipelines.
• Experience with Infrastructure as Code (Terraform, AWS CDK, or similar).
• Familiarity with monitoring and observability practices.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research

• Communicate complex technical concepts to both technical and non-technical stakeholders

   

Requirements:

‌

• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Experience with classical ML models - XGBoost, LightGBM
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment

• Fluency in Ukrainian and English

   

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

We are looking for a Presales Architect/ Technical Lead with a strong builder mindset to take full ownership of complex, large-scale technology initiatives. This role goes beyond coding — it is about architectural leadership, end-to-end system design, and delivering scalable production environments for ambitious, high-impact projects. You will act as the technical anchor across architecture, engineering execution, and client engagement — bridging deep technical expertise with strategic delivery.

What We’re Looking For:

• 8+ years of professional software engineering experience.
• Strong experience in project-based environments (IT Services / Consultancy).
• Proven track record leading technical teams or serving as the primary architect on multi-layered systems.
• Deep knowledge of algorithms, data structures, and system performance optimization.
• Hands-on expertise in distributed systems, cloud-native architecture, and DevOps practices.
• Practical experience integrating AI/ML and IoT into production environments.
• Experience using AI-assisted development tools (e.g., Cursor, GitHub Copilot) to improve engineering efficiency.
• M.Sc. in Computer Science, Software Engineering, or a strictly relevant technical field.

What Sets You Apart:

• You think in systems, not tickets.
• You balance architectural depth with execution speed.
• You are comfortable owning decisions in high-stakes environments.
• You can communicate complex technical ideas clearly to both engineers and non-technical stakeholders.
• You thrive in fast-moving, high-growth contexts.

Why Join Us:

• Work on ambitious, high-scale projects with real-world impact.
• Architectural ownership — not just implementation tasks.
• Exposure to cutting-edge Cloud, AI, and distributed technologies.
• High autonomy, technical influence, and leadership growth.

If you are a technical leader who wants to build scalable systems from the ground up — and own them — we would love to talk.